Effect of causal and acausal filters on elastic and inelastic response spectra
150 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Civil and Structural Engineering, Geophysics
View Paper: https://www.semanticscholar.org/paper/945fe1f72ea1f8ddb2db421e714ea900de9ec9fa
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Citations in the corpus
- Influence of long‐period filter cut‐off on elastic spectral displacements (2006, methodology): “While discussing the e�ects of acausal and causal �lters using particular high-quality digital accelerograms on spectral displacements, Boore and Akkar [ 21 ] showed that the long-period �lter cut-o� can start in�uencing the elastic and inelastic displacement spectra at oscillator periods considerab”
- Wavelet-based response spectrum compatible synthesis of accelerograms—Eurocode application (EC8) (2009, background): “However, their relatively small intensity has minor contribution to the response spectral ordinates [39].”
- Processing of strong-motion accelerograms: needs, options and consequences (2005, background): “The influence of causal and acausal filters on both elastic and inelastic response spectra has been investigated by Boore and Akkar [30], who found that the both elastic response spectra and inelastic response spectra computed from causally-filtered accelerations can be sensitive to the choice of fi”
- On Pads and Filters: Processing Strong-Motion Data (2005, methodology): “Most importantly, removing the padded portions results in an apparent incompatibility between the distributed velocities, displacements, and spectra with those that would be computed from the distributed acceleration time series (e.g., figure 14 in Boore and Akkar, 2003 ).”
- NGA Project Strong-Motion Database (2008, methodology): “Acausal filtering results in fewer phase distortions as discussed in Boore and Akkar (2003), Boore and Bommer (2005), and Boore (2005).”